TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publication References
  4. Augmented Reality Based Data Improvement for the Planning of Aircraft Cabin Conversions
 
Options

Augmented Reality Based Data Improvement for the Planning of Aircraft Cabin Conversions

Publikationstyp
Conference Paper
Date Issued
2020-04
Sprache
English
Author(s)
Deneke, Constantin 
Moenck, Keno  orcid-logo
Schüppstuhl, Thorsten  orcid-logo
Institut
Flugzeug-Produktionstechnik M-23  
TORE-URI
http://hdl.handle.net/11420/11026
Start Page
70
End Page
77
Article Number
9102113
Citation
IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA 2020)
Contribution to Conference
IEEE 7th International Conference on Industrial Engineering and Applications, ICIEA 2020  
Publisher DOI
10.1109/ICIEA49774.2020.9102113
Scopus ID
2-s2.0-85086064973
The introduction of digitalization technologies and methods into existing industrial processes can be seen in all industry sectors. The goal is to increase efficiency and productivity. In the aircraft industry, processes are still marked by paper-based documentation and a lack of digitalized data. This is especially the case in the planning of aircraft cabin maintenance, repair and overhaul (MRO). This causes regularly unexpected problems during MRO tasks and an extension of costly aircraft ground times. This paper describes a concept of increasing the planning reliability by implementing Augmented Reality (AR) into existing processes as a digitalization technology for the purpose of data acquisition. For this, the particular challenges of the addressed application need to be taken into account. The paper also describes a developed software tool. This tool is designed to make the acquired data accessible to planning engineers.
Subjects
aircraft cabin conversion
augmented reality
data quality
TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback